Wenkai Xiao

Zhejiang University

Papers

1

Total Citations

7

H-Index

1

About

Wenkai Xiao is a researcher in robotics and automation, with a focus on computational geometry and assembly planning. His work addresses critical challenges in robotic manipulation of structural components, particularly in construction and manufacturing. Xiao’s most-cited paper, "Polyhedron-bounded collision checks for robotic assembly of structural components" (2023, 7 citations), introduces a novel method for efficient collision detection during complex assembly tasks. By leveraging polyhedron-bounded representations, his approach reduces computational overhead while maintaining accuracy, enabling robots to safely and precisely assemble large-scale structures. This contribution is foundational for advancing autonomous construction, where real-time collision avoidance is essential. Xiao’s research bridges geometry and robotics, offering practical solutions for industrial automation. His work has been recognized for its potential to streamline assembly processes in fields like aerospace and civil engineering. With a growing citation impact, Xiao is establishing himself as an emerging voice in robotic assembly, pushing the boundaries of how machines interact with physical components in unstructured environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Polyhedron-bounded collision checks for robotic assembly of structural components
7 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Zhejiang University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago